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社区老年人社会脆弱性与孤独感的关系:一项横断面研究。

The relationship between social frailty and loneliness in community-dwelling older adults: a cross-sectional study.

机构信息

School of Nursing and Health, Zhengzhou University, Zhengzhou, China.

School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.

出版信息

BMC Geriatr. 2024 Jan 18;24(1):73. doi: 10.1186/s12877-024-04666-2.

DOI:10.1186/s12877-024-04666-2
PMID:38238657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10797967/
Abstract

BACKGROUND

Social frailty (SF) is associated with multiple adverse health outcomes, yet there has been an inadequate focus on social frailty. The convoy model portrays the social networks through the perspective of the life course, thus providing a framework to explain the occurrence of social frailty. This study aimd to figure out the prevalence of social frailty and loneliness among community-dwelling older adults and to explore their correlations based on convoy model.

METHODS

This was a cross-sectional study, and 295 older adults from 10 communities of Zhengzhou in Henan Province participated in the study. Social frailty and loneliness were assessed separately with the Social Frailty Scale and University of California at Los Angeles-Loneliness Scale. The scores of social frailty of the older adults in different characteristic communities were compared by independent sample t-test and single factor analysis of variance. The influencing factors of social frailty were analysed by multiple stepwise linear regression and the structural equation model. The correlation between social frailty and loneliness was analysed by Pearson correlation analysis.

RESULTS

The total scores of social frailty and loneliness of the older adults in the community were (2.09 ± 1.53) and (43.19 ± 8.91), respectively. There was a moderate positive correlation between social frailty and loneliness (r = 0.621, P < 0.01). The results of multiple stepwise linear regression analysis showed that age, living styles, balance of payments, and loneliness were the main influencing factors of the social frailty of older adults in the community (F = 27.180, P < 0.001). The structural equation model of social frailty fitted well (χ = 47.292, df = 26, χ/df = 1.819, P = 0.007; RMSEA = 0.053, 95%CI (0.028, 0.076), P = 0.359; GFI = 0.971; AGFI = 0.939; NFI = 0.904; IFI = 0.955; TLI = 0.918; CFI = 0.953; SRMR = 0.0466).

CONCLUSIONS

The convoy model had certain applicability in explanation of the relationship between loneliness and social frailty among older adults in community. The incidence of social frailty among the older adults in the community was high, and loneliness was at a medium level. It is necessary to strengthen the intervention of social frailty and loneliness of the older adults in the community, improve the quality of life of the older adults, and promote the development of healthy aging.

摘要

背景

社会脆弱性(SF)与多种不良健康结局相关,但对社会脆弱性的关注不足。 convoy 模型从生命历程的角度描绘了社会网络,从而提供了一个解释社会脆弱性发生的框架。本研究旨在确定社区居住的老年人中社会脆弱性和孤独感的患病率,并根据 convoy 模型探讨它们之间的相关性。

方法

这是一项横断面研究,河南省郑州市 10 个社区的 295 名老年人参与了研究。社会脆弱性和孤独感分别用社会脆弱性量表和加利福尼亚大学洛杉矶分校孤独感量表进行评估。采用独立样本 t 检验和单因素方差分析比较不同特征社区老年人的社会脆弱性得分。采用多元逐步线性回归和结构方程模型分析社会脆弱性的影响因素。采用 Pearson 相关分析探讨社会脆弱性与孤独感的相关性。

结果

社区老年人的社会脆弱性和孤独感总分分别为(2.09±1.53)和(43.19±8.91)。社会脆弱性和孤独感之间存在中度正相关(r=0.621,P<0.01)。多元逐步线性回归分析结果显示,年龄、生活方式、收支平衡和孤独感是社区老年人社会脆弱性的主要影响因素(F=27.180,P<0.001)。社会脆弱性结构方程模型拟合良好(χ²=47.292,df=26,χ/df=1.819,P=0.007;RMSEA=0.053,95%CI(0.028,0.076),P=0.359;GFI=0.971;AGFI=0.939;NFI=0.904;IFI=0.955;TLI=0.918;CFI=0.953;SRMR=0.0466)。

结论

convoy 模型在解释社区老年人孤独感与社会脆弱性之间的关系方面具有一定的适用性。社区老年人社会脆弱性的发生率较高,孤独感处于中等水平。有必要加强对社区老年人社会脆弱性和孤独感的干预,提高老年人的生活质量,促进健康老龄化的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e93/10797967/d7e7863e4bd3/12877_2024_4666_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e93/10797967/584a49c14d56/12877_2024_4666_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e93/10797967/d7e7863e4bd3/12877_2024_4666_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e93/10797967/584a49c14d56/12877_2024_4666_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e93/10797967/d7e7863e4bd3/12877_2024_4666_Fig2_HTML.jpg

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